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The Download: how people really use AI, and Flock's design choices

A new research project called the AI Observatory aims to fill in the gap on how people are using AI, while Flock Safety, a police-tech giant, has announced changes to its platform to prevent officers from using it for illegal or illegitimate purposes.

By Eileen Guo and James O'Donnell·Aug 18·technologyreview.com·2 min read

Intelligence analysis by Llama

The Download: how people really use AI, and Flock's design choices
Image: technologyreview.com

The AI Observatory reveals that people are using AI for more sensitive behaviors than reported by major AI companies, with significant differences between models. Flock Safety's changes to its platform aim to prevent officers from using it for stalking and other illegal purposes.

Why it matters

The AI Observatory's findings highlight the need for independent sources to corroborate AI usage data, while Flock Safety's changes raise questions about the kind of crime-fighting system it has built.

Imagine you have a super smart friend who can help you with lots of things, from coding to social interactions. But, just like how you wouldn't want your friend to spy on you, people are worried about how AI is being used to collect and share information. A new research project is trying to figure out how people are really using AI, and a company called Flock Safety is changing its system to make sure it's not used for bad things.

Analysis

The AI Observatory: A New Perspective on AI Usage

The AI Observatory is a research project that aims to fill in the gap on how people are using AI. Unlike reports from major AI companies, which focus on work-related uses, the AI Observatory's analysis reveals a more nuanced picture of AI usage. People are using AI for a wide range of purposes, from coding and social interactions to homework assistance and more. The researchers found significant differences between models, with Anthropic being used more for coding, Gemini for social and roleplay uses, and ChatGPT for homework assistance.

Flock Safety's Design Choices

Flock Safety, a police-tech giant, has recently announced changes to its platform to prevent officers from using it for illegal or illegitimate purposes, including stalking. While some argue that the cameras help solve crime, the real question is what kind of crime-fighting system Flock has chosen to build. Its network works the way it does because of decisions about what information to collect, who can search it, how long to keep it, and how widely to share it. Those decisions set the terms of the bargain between security and civil liberties.

A Narrower Flock System

A narrower Flock system could be designed to prioritize transparency and accountability. This would involve collecting only the necessary information, limiting who can search it, and setting clear guidelines for how long to keep it and how widely to share it. By doing so, Flock can ensure that its system is used for legitimate purposes and does not infringe on civil liberties.

Key points

  • The AI Observatory reveals that people are using AI for more sensitive behaviors than reported by major AI companies.
  • Flock Safety has announced changes to its platform to prevent officers from using it for illegal or illegitimate purposes.
  • The AI Observatory's findings highlight the need for independent sources to corroborate AI usage data.
  • Flock Safety's changes raise questions about the kind of crime-fighting system it has built.
The Upside

If the AI Observatory's findings are taken seriously, it could lead to more transparency and accountability in AI usage. This could also lead to the development of more responsible AI systems that prioritize user safety and civil liberties.

The Downside

If Flock Safety's changes are not enough to prevent officers from using its system for stalking and other illegal purposes, it could lead to a loss of trust in the company and its technology. This could also have broader implications for the use of AI in law enforcement and the potential for abuse.

Originally reported at

technologyreview.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentspoliticsregulationresearchsecuritysociety

Author

Eileen Guo and James O'Donnell

Intelligence analysis by

Llama

Published

Aug 18, 2026

Source

technologyreview.com

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Topics

ai-agentspoliticsregulationresearchsecuritysociety

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